Term of the Day

Shovelware is a derogatory term used for software that has either been quickly developed without regard to quality or function and features, or software that has been forced on customers such as those that are preloaded on laptops or smartphones by their respective carriers.
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Castelle’s integration provides seamless fax integration with native Notes services like logging and reporting, and lets faxes be managed just like other Notes email, with all of Domino’s native security, administration, and customization capabilities.

Domino’s was heavily reliant on a legacy service desk tool. When Karen Copley was hired to oversee all aspects of service delivery for the organisation, she immediately recognised that this tool needed to be replaced. According to Karen, it offered no way to obtain management information. There was also limited automation capabilities. In addition, at this time, Domino’s wanted to mature its service desk operation by adhering to ITIL® framework best practices. “We decided we needed a more robust, ITIL® framework compliant service desk tool. I knew Cherwell® Service Management software was in the Gartner Magic Quadrant, and I had read good things about the company. I therefore decided to invite Cherwell Software and a couple of other vendors to bid for the business.”

Part art, part science, sales forecasting can be daunting for new and experienced sales leaders alike. Your sales forecast is required for successful company planning, and when it goes wrong, the dominoes begin to fall: your executives, investors, and even the public may question your credibility.
Download now to find out!

Many companies that have already invested in IBM Lotus Domino/Notes for their business communications now look to achieve the business benefits that are delivered by mobility solutions. To address this challenge, CommonTime has partnered with Microsoft® to combine key elements our best-of-breed Lotus Domino/Notes mobility solution for Windows Mobile devices with Microsoft’s System Center Mobile Device Manager 2008 (MDM).

For manufacturers of baked goods and snacks, the need for flexible, high-quality coding and marking solutions has never been greater. The wide array of packaging types and materials already in use today — combined with the SKU proliferation driven by consumer demands — means manufacturers have to print expiration codes and lot numbers on multiple substrates in multiple areas/orientations on their packaging lines. These codes need to be clear, precise and readable by both humans and machines to ensure customer safety and satisfaction. They must also provide traceability in the event of a recall.
This white paper from Domino looks at the types of printing technology available today and discusses their various advantages and disadvantages in bakery line applications.

Domino provides a broad portfolio of innovative industrial coding and marking solutions developed in collaboration with customers in food and beverage, life sciences, manufacturing and other industries. Beyond delivering the latest printing technologies and Industry 4.0 connectivity, Domino brings four decades of knowledge and expertise to help companies maximize productivity and OEE with agility to meet the changing needs of today’s fast-paced world. Domino is more than a mark.
Domino printing technologies include thermal transfer overprinting, thermal ink jet, continuous ink jet, print-and-apply labeling, large character inkjet and laser.

Industry 4.0 is a trending topic across the manufacturing world. It’s also a complex concept that encompasses multiple technologies and disciplines — and the ROI isn’t always readily apparent. One way food and beverage companies are seeing some real-time benefits is through the automation of processes to reduce the potential for human error.
In this exclusive on-demand webcast, Adem Kulauzovic, Director of Coding Automation at Domino Printing, sits down with four industry experts to talk about the impact Industry 4.0 and automation can have on reducing human errors in food packaging.
• Bill Dye, Corporate Operations Engineering Manager, Jack Link’s Beef Jerky
• Bob Trask, Senior System Architect, BECKHOFF
• Yanik Ballou, Technology Leader, Optel Group
• Tom Egan, Vice President of Industry Services, PMMI
Join us for insights and firsthand observations from a variety of perspectives on the goals and challenges of integrating technology on the packaging line — an operations engineer

Industry 4.0 promises a whole host of benefits to food manufacturers — from reduced errors and more uptime to unprecedented visibility into operations at every step in the process. But for many food manufacturers out there, this is uncharted territory. Getting machines of various vintages connected and communicating seamlessly with each other and with existing control systems can seem like an expensive and difficult proposition.
Coding and marking is a great place to start for many companies, since SKU proliferation is putting greater demands on packaging lines and introducing additional opportunities for human error.
In this brief white paper, Domino examines five key issues with integrating coding and marking systems that often present challenges for food manufacturers along the road to Industry 4.0.

Food and beverage manufacturers today face a host of challenges— SKU proliferation, more frequent line changeovers, finding and retaining skilled employees — all while handling the day-to-day challenges of keeping the line running smoothly in the first place.
This demand for continuous improvement has plant managers and line engineers examining every aspect of the production and packaging line for ways to squeeze every bit of performance from every machine, every process, and every employee
This white paper from Domino takes a look at how conducting a value stream analysis with a third-party provider can uncover a wide array of opportunities to improve productivity and efficiency. From freeing up labor and reducing errors to shortening changeover time and sharing critical operational knowledge among all stakeholders, a value stream analysis provides a collaborative opportunity to learn and discover new ways to boost productivity without major equipment investments.

Lasers have been around since the 1960s, and the
technology has proven to be transformative across
a wide range of applications and industries. From
cutting steel and reshaping retinas to storing and
reading data, lasers have become so commonplace
that it’s easy to forget the word itself is an acronym
that describes the process by which this amazing
light is created: Light Amplification by Stimulated
Emission of Radiation

As data science becomes a critical capability for companies, IT leaders are finding themselves responsible for enabling data science teams with infrastructure and tooling. But data science is much more like an experimental research organization than the engineering and business teams that IT organizations support today. Compounding the challenge, data science teams are growing fast, often by 100% a year. This guide will quickly help you understand what data science teams do to build their predictive models and how to best support them.
Learn how to modernize IT’s approach to ensure your company’s data science teams perform their best, and maximize impact to the business. Some highlights include:
Why data science should not be treated like engineering.
How to go beyond simple infrastructure allocation and give data science teams capabilities to manage their workflows and model lifecycle.
Why agility and special hardware to support burst computing are so important to data science break

A data science platform is where all data science work takes place and acts as the system of record for predictive models. While a few leading model-driven businesses have made the data science platform an integral part of their enterprise architecture, most companies are still trying to understand what a data science platform is and how it fits into their architecture. Data science is unlike other technical disciplines, and models are not like software or data. Therefore, a data science platform requires a different type of technology platform.
This document provides IT leaders with the top 10 questions to ask of data science platforms to ensure the platform handles the uniqueness of data science work.

As organizations increasingly strive to become model-driven, they recognize the necessity of a data science platform. According to a recent survey report “Key Factors on the Journey to Become Model-Driven”, 86% of model-driven companies differentiate themselves by using a data science platform. And yet the question of whether to build or buy still remains.
This paper presents a framework to facilitate the decision process, and considers the four-year projection of total costs for both approaches in a sample scenario.
Read this whitepaper to understand three major factors in your decision process:
Total cost of ownership - Internal build costs often run into the tens of millions
Opportunity costs - Distraction from your core competency
Risk factors - Missed deadlines and delayed time to market

As data science becomes a critical capability for companies, IT leaders are finding themselves responsible for enabling data science teams with infrastructure and tooling. But data science is much more like an experimental research organization than the engineering and business teams that IT organizations support today. Compounding the challenge, data science teams are growing fast, often by 100% a year. This guide will quickly help you understand what data science teams do to build their predictive models and how to best support them.
Learn how to modernize IT’s approach to ensure your company’s data science teams perform their best, and maximize impact to the business. Some highlights include:
Why data science should not be treated like engineering.
How to go beyond simple infrastructure allocation and give data science teams capabilities to manage their workflows and model lifecycle.
Why agility and special hardware to support burst computing are so important to data science break

Lessons from the field on managing data science projects and portfolios
The ability to manage, scale, and accelerate an entire data science discipline increasingly separates successful organizations from those falling victim to hype and disillusionment.
Data science managers have the most important and least understood job of the 21st century.
This paper demystifies and elevates the current state of data science management. It identifies best practices to address common struggles around stakeholder alignment, the pace of model delivery, and the measurement of impact.
There are seven chapters and 25 pages of insights based on 4+ years of working with leaders in data science such as Allstate, Bayer, and Moody’s Analytics:
Chapters:
Introduction: Where we are today and where we came from
Goals: What are the measures of a high-performing data science organization?
Challenges: The symptoms leading to the dark art myth of data science
Diagnosis: The true root-causes behind the dark art m

This paper introduces the practice of Model Management, an organizational capability to develop and deliver models that create a competitive advantage.
Today, the best-run companies run their business on models, and those that don’t face existential threat. The paper explains why companies that fail to run on models are falling for the Model Myth—the assumption that models can be managed like software or data. Models are different and need a new organizational capability: Model Management.
What’s inside:
Defining a model
Why models matter for businesses
Why companies fall for the Model Myth
A framework for Model Management
Practical steps to get started
The paper is intended for anyone in a data science organization, or anyone who hopes to use data science as a key source of competitive advantage for their business.

Celina Insurance case study that shows cost reduction and increased productivity - faster, better service to agents and their customers due to integrated systems and real-time collaboration; being “easy to do business with” secures agent loyalty; 50 percent reduction in phone calls and costs due to instant messaging option, and 40 percent reduction in head count while maintaining the same volume of business due to streamlined processes.

Nutra-Flo case study that shows cost reduction and increased productivity - team members can carry this capability with them on mobile devices, so they can stay connected with colleagues via instant messaging even when in the field. Lotus Sametime Web conferencing, Nutra-Flo can save travel costs to the Asia Pacific region. Web conferencing allows us to stay in touch with partners around the world without being there in person.

As a small to midsize business owner, you understand that in order to grow, you need to be able to communicate and collaborate with people, quickly and easily. But you have limited budgets and IT resources. You want security-rich solutions that will extend your assets, improve operating efficiencies and grow as your company grows. IBM offers you reliable solutions that can help you compete with your larger counterparts.

Read the white paper to see how IBM Lotus Notes and Domino software empowers users to take action, create and share knowledge and collaborate with teams. And discover how this new kind of desktop application, leveraged from 20 years of leadership can help deliver an enhanced user experience, drive greater business value and boost IT performance.

In this white paper, you'll see how Lotus Notes 8.5 boosts bandwidth by storing one copy of attachments, rather than allowing duplicate via threads. You'll also discover how upgrading lets you elevate collaboration and enhance efficiency with tools that empower users to take action, create and share knowledge, and collaborate with teams.

Read this astounding case study to see how migrating to IBM Lotus software with a broadly functional messaging platform increased the efficiency and support of mobile users for the Kentucky Baptist Convention. Then you'll learn how your own business can improve communications, drive down costs and eliminate the need for additional Web software.

This IDC Technology Spotlight paper takes a look at why Email remains the primary mode of communication in business today. While there is prevalent speculation that social software and other real-time communications applications will replace email, email nevertheless remains a stalwart in business operations. In addition, as relationships across all business communication channels continue to be redefined, innovative modes and methods of communication are emerging. As a result, locating the right data and information at the right time — while still critical — becomes increasingly complex. IDC expects that organizations will use social software, such as Notes and Domino 9x Social Edition, to complement existing tools and address these business needs for the foreseeable future.